土木工程与管理学报2016，Vol.33Issue(5)：33-37,43,6.
基于参数变异性的车辙深度预估
The Rutting Predication of Asphalt Pavement Based on Variability Analysis
摘要
Abstract
A reasonable rutting prediction is fundamental to rutting resistance design, which aims at establishing a model to predict rutting resistance of the pavement to judge whether the pavement structure design and material design meet the requirements of the specification or design goal or not, and finally causing less rutting failure. Considering parameters of rutting prediction model such as temperautre, wheel load and vehicle velocity were normally set as statistical constants rather than variables with specific distribution variation, the statistical variability of parameters is analyzed to investigate the influence to rutting predication, and modified the rutting predication model to improve its accuracy. These conclusions are obtained: the rutting predication is obviously influenced by the statistical variabilities of temperature and vehicle velocity, greater statistical variabilities causing deeper rut;the statistical variability of wheel load have little influence on the rutting prediaction; and after the modificaiton of the statistical variability, the accuracy of the rutting predication is enhanced.关键词
车辙预估/变异性/全厚度车辙试验/温度/轴重/车速Key words
rutting predication/statistical variability/total-thickness rutting test/temperature/wheel load/vehicle velocity分类
交通工程引用本文复制引用
张勇,吴克宝,葛慧芝,罗辉..基于参数变异性的车辙深度预估[J].土木工程与管理学报,2016,33(5):33-37,43,6.基金项目
国家自然科学基金(51578261) （51578261）
湖北省科技支撑计划项目(2015BAA112) （2015BAA112）
中央高校基本科研业服务费专项资金(2015MS071) （2015MS071）
